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Supply Chain Analytics

21 min of video

1 enrolled

Supply Chain Analytics banner
Preview this course
Self-paced Beginner

Supply Chain Analytics

4(1419)
1 enrolled
656 views
FREE
1274 min
Anytime
English
Team EveryEng
Team EveryEngMechanical Engineering
  • Lifetime access
  • Certificate of completion
  • Foundational Learning
  • Access to Study Materials
Volume pricing for groups of 5+

Why enroll

Participants join this course to understand how data analytics can improve supply chain performance and decision-making. It helps them learn practical techniques for analyzing supply chain data and identifying opportunities to reduce costs and increase efficiency. The course also provides valuable skills in data visualization and predictive analysis that are widely used in modern industries. By gaining these skills, participants can enhance their career opportunities in supply chain management and data-driven business operations.

Is this course for you?

You should take this if

  • You work in Aerospace or Rail & Transport
  • You're a Data Science & Analysis / Mechanical professional
  • You prefer self-paced learning you can revisit

You should skip if

  • You need a different specialisation outside Data Science & Analysis
  • You need live interaction with an instructor

Course details

This course focuses on how data analytics can be used to improve supply chain operations and support better business decisions. Participants will learn how to collect, analyze, and interpret supply chain data to identify patterns and trends. The course introduces important techniques such as data analysis, visualization, and predictive modeling. Learners will explore how analytics can help reduce costs, improve efficiency, and optimize inventory management. It also covers demand forecasting and performance monitoring using real data insights. Participants will gain practical knowledge on using data to solve supply chain challenges. The course explains how data-driven decisions can enhance logistics, procurement, and distribution processes. Simple analytical tools and techniques will be demonstrated for real-world applications. By the end of the course, learners will understand how to transform raw data into meaningful insights. This helps organizations make smarter decisions and achieve sustainable business growth.

Source: Supply Chain Analytics (YouTube Channel)
Dr. Rajat Agrawal, Dept. of Management Studies, IIT Roorkee

Course suitable for

Key topics covered

  • Analyze supply chain data for informed decisions

  • Apply data visualization and predictive analytics techniques

  • Optimize supply chain design and operations

  • Implement data-driven decision-making practices

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

40 lectures21 hr 14 min

Opportunities that await you!

Career opportunities

Our Alumni Work At

Aristi Projects wood/Bharath Engineering CollegeExpertise MaryMount California UniversityKBR/IRTTGenser Energy Ghana LtdAeroDef Nexus LLPInventor Engineering solutionsC&M Engineering SAEx-Tata Steel , Precision Engineering Division , West Bengal universityAssystem StupEEProCAD tech solutonsATKINSREALISMangalam college of EngineeringSearching for jobGulf Engineering & Consultant Gazprom International LimitedNaAir ProductsJohn R Harris & PartnersSPES Consultancy Tecnimont Spa Abu DhabiNIT SilcharJabalpur Engineering College Wex Technologies Pvt.LtdGARGI MEMORIAL INSTITUTE OF TECHNOLOGYADCETSlimane DridiabdWhatispiping.comHoly Angel UniversityCYIENTSelf EmployedEnergoprojektifluids engineeringairswiftIITBSusoptLIVANCE DISTRIBUTORSDESIGN AID ENGINEERINGURC Construction pvt.ltdCONSERVE SOLUTIONSGismic LLCIIT GuwahatiAditya engineering college Advanced Piping SolutionsIndorama Automotive MNCSPIE Oil and GasCollegiate collegemeChittagong University Of Engineering And technology XYZENGGENIOUS - (SAN Techno Mentors Private Limited)CAE Solutions Pvt.LtdBTPJamia Millia Islamia New delhiJOHN DEEREApplied Technology Solutions

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities-all in a flexible and supportive environment.

What learners say about this course

MILIND AMBARDEKAR
MILIND AMBARDEKAR Self employed
Feb 25, 2026

Initially, I wasn’t sure what to expect from this course. Coming from an automotive background, CFD had always felt a bit like a black box beyond post-processing plots. The sections on the Navier–Stokes equations and finite volume discretization helped connect the math to what’s actually happening in the solver. Seeing how grid generation and boundary layer resolution affect results made a lot of sense, especially when thinking about under-hood airflow and thermal management in automotive applications. One area that stood out was the discussion around convergence and stability. A real challenge during the assignments was dealing with a case that simply wouldn’t converge because of poor meshing near walls. That was frustrating, but also realistic. In aerospace projects, especially around external aerodynamics and airfoil analysis, the same issues show up if y+ and turbulence modeling aren’t handled carefully. A practical takeaway was learning a basic checklist before trusting results: mesh quality, residual trends, and sensitivity to boundary conditions. That’s already been applied to a cooling flow study at work. Overall, it felt grounded in real engineering practice.

Ayshwarya Mahadevan
Ayshwarya Mahadevan Engineer
Jan 27, 2026

good

Kishore Babu.M
Kishore Babu.M Fresher
Jan 21, 2026

It. Was so good we'll use for beginners

viren prajapati
viren prajapati piping stress engineer
Jan 19, 2026

.

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